Title
On the design and evaluation of a multi-dimensional approach to information retrieval
Abstract
We present a method of searching text collections that takes advantage of hierarchrical information within documents and integrates searches of structured and unstructured data. We show that Multidimensional databases (MDB), designed for accessing data along hierarchical dimensions, are effective for information retrieval. We demonstrate a method of using On-Line Analytic Processing (OLAP) techniques on a text collection. This combines traditional information retrieval and the slicing, dicing, drill-down, and roll-up of OLAP. We demonstrate use of a prototype for searching documents from the TREC collection.
Year
DOI
Venue
2000
10.1145/345508.345656
SIGIR
Keywords
Field
DocType
multidimensional database,information retrieval
Data mining,Multi dimensional,Information retrieval,Computer science,Data retrieval,Vector space model
Conference
Citations 
PageRank 
References 
32
1.43
11
Authors
5
Name
Order
Citations
PageRank
M. Catherine McCabe1917.85
Jinho Lee253647.15
Abdur Chowdhury32013160.59
david a grossman439946.60
Ophir Frieder53300419.55